ORLEN Skylight accelerator

We are looking for an intelligent control system for wind farms that uses artificial intelligence to enhance turbine performance and optimize electricity generation. The goal of the challenge is to improve the operational efficiency of wind assets and maximize annual energy output through real-time data analysis and adaptive control algorithms.

Required functionalities:

• dynamic control of turbines considering aerodynamic wake effects,
• real-time optimization of turbine operating parameters to maximize energy yield,
• simulation and optimization of wind farm configuration already at the design stage (engineering module),
• integration with existing farm infrastructure and SCADA systems,
• analysis of historical data and current wind conditions to support predictive operation.

We are looking for a digital solution that streamlines the process of obtaining permits and approvals for customers seeking access to energy connections. The platform should be user-friendly and support clients throughout all stages of the application process – for example, through an AI Chatbot or AI Avatar with advanced communication capabilities and LLM-based guidance features.

The final product should assist users in preparing and submitting connection applications, generate technical connection conditions, and – in straightforward cases – enable the signing of connection agreements online.

Required functionalities

• intuitive web and mobile interface for customers,
• AI-driven support assistant (Chatbot/Avatar) capable of answering questions and guiding users,
• automated generation of connection conditions,
• workflow management for application review and approval,
• integration with existing internal systems and customer databases.

We are looking for an intelligent AI-driven solution that supports customer service operations by providing automated information to clients via hotline or chat. The tool should be capable of explaining procedures, delivering updates on case status from billing or document management systems, and handling standard customer inquiries.

The system should also be able to proactively contact customers in cases requiring additional data or documentation, based on predefined case statuses in internal systems. After each interaction, the solution should automatically record a note or update linked to the specific case number, ensuring full traceability and easier verification of communication history.

Required functionalities:

• voicebot and/or chatbot powered by AI for natural, contextual communication,
• integration with billing, CRM and document management systems,
• ability to initiate contact automatically based on case status,
• automatic logging of interactions and notes in the case record,
• capability to handle multiple customer interaction channels (voice and text).

We are looking for solutions enabling the integration of bidirectional DC chargers (supporting V2G/V2H and B2G/B2H) with existing street lighting poles. We are particularly interested in technologies that not only charge electric vehicles but also allow the vehicle’s battery to act as a grid resource, providing backup power (V2H) or supporting the electrical grid (V2G).

Key expectations:

• EV battery charging and discharging (DC ↔ AC),
• support for V2G/V2H and B2G/B2H communication protocols,
• ability to be installed on or within existing lighting poles,
• capability to power local infrastructure in emergency mode,
• full compatibility with Polish grid conditions and CCS standard.

We are looking for an analytical system supporting investment and technical decision-making in the development of hybrid renewable energy sources — particularly the expansion of existing hydroelectric plants with new photovoltaic, wind and energy storage installations.

The solution should enable comprehensive technical and operational analysis based on historical and real-time data from existing facilities, providing input for economic models and investment assessments in renewable infrastructure.

Required functionalities:

• analysis of production profiles of existing assets based on historical (e.g. SCADA) data,
• simulation of system expansion considering current grid connection conditions and technical or contractual constraints,
• selection of optimal capacities and types of new generation or storage units based on production forecasts and redispatch analysis,
• evaluation of local grid node potential, including peak shaving, oversizing vs. connection limits, seasonal production deficits, reactive power management and redispatch options,
• identification of necessary technical upgrades for efficient power evacuation and hybrid integration.

We are looking for a solution that enables the creation of interactive surveys—both quick ad-hoc polls and more complex forms with conditional logic, rating scales, and expandable "other" response fields. The solution should support both internal and external organizational use and be accessible across various devices.

Key requirements:

• ability to build dynamic questionnaires (conditional questions, custom answers, rating scales),
• availability across platforms and devices,
• intuitive interface for survey creators,
• advanced data analysis tools (visualizations, charts, dashboards),
• capability to generate custom queries and analyze collected data directly within the platform, without the need to export to Excel for pivot table creation.

We are looking for a solution that enables the organization of virtual career fairs as interactive online events. The goal of the challenge is to create an engaging digital environment that replicates the networking dynamics of traditional career fairs by leveraging gaming, metaverse and immersive 3D technologies.

The platform should allow exhibitors to create virtual booths, host webinars and one-on-one meetings, and communicate directly with participants in real time through video, chat or avatars.

An important feature is integration with existing recruitment management systems (e.g. eRecruiter) to enable seamless data exchange and streamlined HR workflows.

Required functionalities:

• interactive 3D or metaverse-based environment for exhibitors and participants,
• customizable virtual booths and real-time video meetings,
• integrated chat and voice communication (avatars optional),
• webinar and live streaming modules,
• integration with ATS / HR systems (e.g. eRecruiter).

We are looking for a comprehensive solution to support all stages of the employee lifecycle from accepting a job offer (preboarding), through the first months of employment (onboarding), to leaving the organization (offboarding).

The tool should facilitate real-time communication between the new employee and their manager, assigned buddy, HR, and others involved in the onboarding process. Key functionalities include: chat with AI support, task checklists for managers and HR (e.g. IT equipment, system access, employment documentation), tracking the status of onboarding tasks, collecting employee feedback, and integration with e-learning platforms.

The solution should be accessible across devices and act as a single digital space that consolidates all relevant information, files, and actions related to the employee's adaptation journey within the organization.

We are looking for innovative plasma-based solutions that enable energy-efficient conversion of CO₂ into CO for use in e‑fuel production. The proposed device or technology should offer a lower energy consumption per kilogram of syngas (kWh/kg) compared to currently used methods.

The goal is to obtain syngas as a precursor for further synthesis of e‑fuels. The solution should be scalable, emission-free, and environmentally safe, both in terms of direct emissions and impact on surroundings.

We are looking for alternative technologies for the production of synthesis gas (syngas) that minimize or eliminate the use of hydrogen, typically required in the conventional RWGS (Reverse Water-Gas Shift) process, where water is produced as a by-product.

We are particularly interested in solutions that use renewable non-biological feedstocks such as CO₂ and water, and enable energy- and environmentally-efficient syngas production for further use in alternative fuel synthesis. The technology should be scalable, emission-free, and aligned with the strategic direction of low-emission fuel production.

We are looking for a solution that enables the reduction of load on existing cooling units through the use of freecooling technology. The goal is to optimize electricity consumption for cooling processes, particularly during periods when ambient conditions (autumn, winter, spring) allow for efficient use of natural cooling from the environment.

The solution should be compatible with existing infrastructure, scalable, and adaptable to process requirements. We expect technologies that improve the energy efficiency of cooling systems and contribute to the reduction of operational costs.

We are looking for compact trigeneration units enabling high-efficiency combined production of electricity, heat and cooling within a single integrated system designed for industrial applications. The goal is to utilize available streams of process gases and recover waste heat, for example through the use of absorption chillers.

The solution should support improvement of the plant’s overall energy efficiency by minimizing energy losses and enabling optimal management of energy carriers within technological processes.

The proposed technology should be ready for pilot implementation under industrial conditions.

We are looking for a solution that enables quick and easy application to stop or block uncontrolled steam leaks on operating process steam pipelines. The proposed technology should ensure safe, non-invasive sealing without the need to shut down the installation.

The solution must also allow for simple disassembly and removal after use, ensuring minimal interference with the existing pipeline infrastructure.

We are looking for a web-based solution that supports B2B customers in navigating our product portfolio through an intuitive, interactive preselection form. The tool should guide users in identifying their technical needs (e.g. polymer type, application, specific requirements), and either suggest a matching product or forward the inquiry to the appropriate sales team.

The goal is to simplify product selection, increase the number of qualified leads, and reduce entry barriers caused by complex technical documentation. The tool should include data capture capabilities, conditional logic for question flow, and integration with the sales process (e.g. automated lead forwarding, follow-up triggers). Ideally, the system will present tailored recommendations after contact details are submitted (“soft paywall”).

We are looking for a solution to develop an interactive analytical dashboard that clearly visualizes energy generation and consumption data across the distribution network, segmented by geographic regions and tariff groups.

The solution should enable territorial analysis down to the level of voivodeships and municipalities and reflect both renewable energy generation and consumption across all tariff groups. A well-designed dashboard will support both operational and strategic decisions in the evolving energy landscape.The goal is to enhance transparency and decision-making efficiency by presenting comprehensive data, including:

• energy flows within the Energa Operator (EOP) grid – including interconnection points with PSE, RES sources, and transit with other DSOs,
• internal energy flows across EOP regional branches,
• energy flows at HV/MV substations (GPZ) and MV/LV stations,
• volume of energy supplied to PSE, other DSOs, and end-users,
• volume of energy consumed by customers – segmented by voltage level and consumer type (e.g. medium voltage, households, industry).

We are looking for a solution that enables the recovery and reuse of waste heat generated in server rooms. The goal of the challenge is to improve the energy efficiency of buildings by integrating compact and high-efficiency heat recovery systems with existing air conditioning infrastructure.

The solution should operate fully automatically, allow for parameter adjustment, and integrate with Building Management Systems (BMS). It is essential that implementation does not require significant modifications to the existing cooling infrastructure.

Expected functionalities:

• recovery of heat from air conditioning units and its reuse in other systems,
• compact design and easy installation in existing technical rooms,
• automatic control and monitoring of operating parameters,
• compatibility with BMS systems.

We are looking for a solution that enables the utilization of vented process gases and the reduction of their combustion in flares. The goal of the challenge is to develop a system that allows for energy recovery or reuse of process gases within technological installations, while ensuring safe operation in explosive (EX) zones.

The solution should be adaptable to variable process parameters and easily integrable with the existing plant infrastructure.

Expected functionalities:

• conversion or recovery of energy from vented gases,
• reduction of gas volume directed to flares,
• capability to operate safely in EX zones,
• compatibility with existing process automation systems.

We are looking for a solution that enables the recovery and reuse of waste heat from rotating machinery — such as compressors and pump units — for heating water or preheating demineralized water. The goal of the challenge is to improve the energy efficiency of production installations by reducing the demand for energy media and minimizing heat losses in refinery industrial areas.

Expected functionalities:

• recovery of heat from mechanical equipment (compressors, pumps, motors),
• use of recovered heat for heating or process water,
• integration capability with existing process systems,
• high efficiency and safe operation under industrial conditions.

We are looking for a digital solution leveraging Artificial Intelligence (AI) to identify the energy needs of B2B and/or B2C customers and analyze their electricity consumption profiles.

The system should generate energy optimization scenarios — such as energy storage deployment, photovoltaic installations, or Power Purchase Agreements (PPA) — and support investment and service decision-making within the Energy as a Service (EaaS) model.

Key functionalities include technical, economic and environmental analysis of proposed solutions, estimation of costs, ROI, CO₂ reduction and energy efficiency indicators, as well as the use of AI algorithms for forecasting consumption, costs and profitability.

We expect a solution that enables dynamic, personalized energy advisory services tailored to individual customer profiles.

We are looking for solutions that will enable testing of a new business model based on providing mobile telecommunication services within the ORLEN VITAY ecosystem.

The goal of the challenge is to launch a pilot in the MVNO (Mobile Virtual Network Operator) model, where loyalty program members could sign up for mobile services (eSIM) and use their VITAY points to partially or fully pay their phone bills.

We seek technology partners or young companies offering MVNO-based solutions that allow for rapid implementation and pilot testing on a limited user group.

We are looking for a solution that leverages artificial intelligence (AI) to optimize the operation of small steam-powered flow machines, such as turbines or process drives. The expected system should operate based on modules mounted directly on steam valves, enabling real-time regulation to adjust machine performance to the optimal operating point.

The solution should learn the operating characteristics of the equipment and automatically adapt its settings to minimize energy consumption and improve operational efficiency.

We are looking for an advanced tool that enhances the process of identifying and analyzing hazards and associated risks, including BRA (Bowtie Risk Analysis), FERA (Fire and Explosion Risk Analysis) and QRA (Quantitative Risk Assessment).

The system should leverage Artificial Intelligence (AI) and Machine Learning (ML) to automatically classify events, assess the probability and potential impact of incidents, and generate clear, data-driven risk reports. The solution should enable automated data processing, trend analysis and visualization of results through dynamic bowtie diagrams, hazard maps or risk charts.

The platform must be flexible, scalable and integrable with existing safety management systems, supporting both operational and strategic decision-making — including in the area of insurance risk assessment.

We are looking for a solution that enables prediction and early diagnosis of potential leaks in industrial installations, based on real-time analysis of process data. The system should utilize parameters such as flow, level and pressure measurements, applying advanced predictive algorithms or Digital Twin models to detect anomalies.

The solution should identify irregularities in process parameters that may indicate a leakage risk before an actual release occurs. It must be scalable, integrable with existing automation infrastructure, and capable of providing clear, actionable recommendations to plant operators.

We are looking for an automated drainage system for industrial tanks used to store refinery products such as fuels and heating oils. Due to the natural tendency of water to accumulate and settle at the bottom of tanks, we seek an innovative solution that can automatically detect and remove the collected water while maintaining the efficiency and safety of storage operations.

The proposed technology should ensure reliable detection of water–product interfaces, automatic drainage control, and safe operation under industrial conditions, minimizing product losses and the need for manual intervention.

We are looking for a Digital Twin solution that enables the creation of a virtual representation of selected elements of the Olefins installation within a digital environment. The goal is to enable continuous monitoring, simulation and real-time analysis of process parameters to optimize plant performance, improve operational efficiency and enhance safety.

The system should use process data to build a dynamic simulation model capable of predicting process behavior under changing operational conditions. A key objective is to identify opportunities for energy savings, improve process control and support operator decision-making.

Expected functionalities include:

- predictive analytics and process optimization,

- optimization of energy and resource consumption,

- support for decarbonization goals (CO₂ emission reduction),

- seamless integration with existing IT and automation infrastructure.

The solution should be scalable, secure and compliant with industrial OT/IT requirements, serving as a significant step toward energy transformation and sustainable development.

We are looking for a Building Management System (BMS) that will be highly flexible, easy to implement, and equipped with its own software for control depending on arising needs. The solution should integrate various elements of energy production and consumption: photovoltaics (PV), batteries, wind turbines, blinds, air conditioning, lighting, etc. The entire system should be easily manageable from an administrative level.

We are looking for a solution to support the digital management of flanged connections, with a particular focus on the tracking and documentation of blanking (blinding) and unblanking operations. The goal is to develop a system that enables real-time monitoring, documentation, and confirmation of the status of each flanged joint. The solution should streamline operational processes, improve installation safety, and reduce the risk of errors or outdated data during inspections, maintenance, and process operations

Expected functionalities include:

- mapping flanged connections within the installation (e.g. based on P&ID diagrams),

- digital logging of decisions to install/remove blinds, including timestamps and responsible personnel,

- status confirmation (blanked / unblanked / sealed) by authorized personnel,

- potential integration with existing technical documentation systems.

We are looking for an AI-based solution capable of processing and analyzing technical documentation, such as manuals, regulations, guidelines, product sheets or P&ID diagrams, and providing accurate answers to user queries based on this content. The goal of the challenge is to develop an intelligent knowledge base that understands the logic of technological processes, interprets relationships between system components, and can reference specific sections of documents, tables, images or charts.

We expect a solution leveraging AI/LLM and Computer Vision technologies to enable semantic, context-aware search rather than keyword-based lookup. The tool should support technical and engineering staff by significantly reducing the time needed to retrieve and analyze information about plant systems.

We are looking for a solution that will enable the unification and standardization of transaction authorization processes for fuel cards used across the ORLEN Group: both in Poland and in foreign networks (Czech Republic, Slovakia, Hungary, Germany, Austria and Lithuania). The goal of the challenge is to develop a system that ensures consistent and secure transaction processing throughout the ORLEN network, taking into account differences in settlement models (prepaid, credit limits) and local financial and accounting requirements.

The solution should allow for communication with ORLEN systems in Poland and abroad, where card account information is maintained, as well as with POS devices and payment operators. It should also support invoicing, transaction settlement and recording in Customer Portals, while maintaining full regulatory compliance and data security.

We are looking for a solution that enables real-time estimation of the maximum active power output that can be generated by renewable energy (RES) units. The system should use current meteorological data, such as solar radiation, wind speed and direction, cloud cover, temperature and humidity along with operational data from the generation units, including inverter or turbine parameters, technical constraints, and current dispatch statuses.

The solution should determine the actual, achievable generation capacity of a unit at any given moment, based on real-time weather conditions and energy source availability. Additionally, it should be able to identify deviations from expected generation parameters and predict potential production limitations.

The system must comply with applicable European Union regulations governing renewable energy operation and reporting.

We are looking for an AI- and computer vision-based solution that automatically monitors product availability and planogram compliance on ORLEN fuel station shelves. The goal of the challenge is to improve the efficiency of shelf management and stock control by analyzing photos, video recordings or live camera feeds to determine the percentage alignment of on-shelf products with the defined planogram. The system should support quick detection of out-of-stock items, optimize product replenishment logistics and reduce the need for manual inspections.

The solution should enable management of master data linked to individual fuel stations, identification of locations under analysis, and aggregation of collected data in a central reporting database. We expect a scalable solution that can be deployed across multiple retail locations within the ORLEN network.